Mathias Mohl
Overview
Explore the profile of Mathias Mohl including associated specialties, affiliations and a list of published articles.
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8
Citations
165
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Recent Articles
1.
Amit M, Backofen R, Heyne S, Landau G, Mohl M, Otto C, et al.
IEEE/ACM Trans Comput Biol Bioinform
. 2015 Sep;
11(1):219-30.
PMID: 26355520
Detecting local common sequence-structure regions of RNAs is a biologically important problem. Detecting such regions allows biologists to identify functionally relevant similarities between the inspected molecules. We developed dynamic programming...
2.
Will S, Otto C, Miladi M, Mohl M, Backofen R
Bioinformatics
. 2015 Apr;
31(15):2489-96.
PMID: 25838465
Motivation: RNA-Seq experiments have revealed a multitude of novel ncRNAs. The gold standard for their analysis based on simultaneous alignment and folding suffers from extreme time complexity of [Formula: see...
3.
Otto C, Mohl M, Heyne S, Amit M, Landau G, Backofen R, et al.
BMC Bioinformatics
. 2015 Jan;
15:404.
PMID: 25551362
Background: Identifying sequence-structure motifs common to two RNAs can speed up the comparison of structural RNAs substantially. The core algorithm of the existent approach ExpaRNA solves this problem for a...
4.
Sauthoff G, Mohl M, Janssen S, Giegerich R
Bioinformatics
. 2013 Jan;
29(5):551-60.
PMID: 23355290
Motivation: Dynamic programming is ubiquitous in bioinformatics. Developing and implementing non-trivial dynamic programming algorithms is often error prone and tedious. Bellman's GAP is a new programming system, designed to ease...
5.
Sorescu D, Mohl M, Mann M, Backofen R, Will S
Nucleic Acids Res
. 2012 Jun;
40(Web Server issue):W49-53.
PMID: 22689637
Due to recent algorithmic progress, tools for the gold standard of comparative RNA analysis, namely Sankoff-style simultaneous alignment and folding, are now readily applicable. Such approaches, however, compare RNAs with...
6.
Lange S, Maticzka D, Mohl M, Gagnon J, Brown C, Backofen R
Nucleic Acids Res
. 2012 Mar;
40(12):5215-26.
PMID: 22373926
Determining the structural properties of mRNA is key to understanding vital post-transcriptional processes. As experimental data on mRNA structure are scarce, accurate structure prediction is required to characterize RNA regulatory...
7.
Mohl M, Salari R, Will S, Backofen R, Sahinalp S
Algorithms Mol Biol
. 2011 Jan;
5:39.
PMID: 21194463
Background: Although many RNA molecules contain pseudoknots, computational prediction of pseudoknotted RNA structure is still in its infancy due to high running time and space consumption implied by the dynamic...
8.
Mohl M, Will S, Backofen R
J Comput Biol
. 2010 Apr;
17(3):429-42.
PMID: 20377455
Prediction and alignment of RNA pseudoknot structures are NP-hard. Nevertheless, several efficient prediction algorithms by dynamic programming have been proposed for restricted classes of pseudoknots. We present a general scheme...